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居民低碳行为的关联效应及其影响因素研究 被引量:8

Study on the correlation effect of low carbon behavior of residents and its influencing factors
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摘要 文中利用低碳建设先行区宁夏盐池县居民调查数据建立biprobit模型,分析居民低碳行为关联效应及其影响因素。结果表明:(1)样本中,居民自参与低碳的人数远低于居民督促他人参与低碳的人数;(2)居民自参与低碳与居民督促他人参与低碳之间不存在显著的关联效应;(3)影响居民低碳行为因素中,文化程度、恶劣环境敏感度、低碳培训对居民自参与低碳有正向影响,健康程度对居民自参与低碳有负向影响,年龄、文化程度、健康程度、纯收入、低碳培训、个体责任和榜样效应对居民督促他人参与低碳有正向影响。 The Yanchi residents were surveyed to establish a biprobit model to analyze the correlation effects of low-carbon behavior and its influencing factors.The results are as follows.(1)The number of residents participating in low carbon is much lower than the number of residents who urge others to participate in low carbon.(2)There is no significant correlation effect of residents participating in low carbon and supervising others’low carbon.(3)Among the factors affecting residents’different low-carbon behavior,degree of education,harsh environmental sensitivity,and low-carbon training have positive impact on residents’participation in low carbon,degree of health has a negative impact on residents’participation in low carbon;age and education level,health,net income,low-carbon training,individual responsibility and role model have positive impact on residents’supervision of others’low carbon.
作者 李立朋 丁秀玲 李桦 LI Lipeng;DING Xiuling;LI Hua(School of Economics and Management,Northwest A&F University,Yangling 712100,China)
出处 《干旱区资源与环境》 CSSCI CSCD 北大核心 2020年第2期52-57,共6页 Journal of Arid Land Resources and Environment
基金 国家社会科学基金(18XJY007)资助.
关键词 居民低碳行为 关联效应 影响因素 biprobit模型 low carbon behavior of residents correlation effect influencing factors biprobit model
作者简介 李立朋,男,山东聊城人,博士研究生,研究方向为资源与环境,E-mail:feixiang2022@126.com;通讯作者:李桦,女,四川南充人,教授,博士生导师,研究方向为资源与环境,E-mail:lihua7485@163.com
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